Evidence map›Paper›PMID 42889100›Full record

ArticleFrontiers in digital health2026

Harmonizing Vietnamese traditional and western medicine: a digital health blueprint and the IMKE architectural framework.

Anh Nguyen Thi Dieu, Hieu Le Ngoc

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Anh Nguyen Thi DieuVan Hien University, Ho Chi Minh City, Vietnam.
Hieu Le NgocPosts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concurrent use of traditional and Western medicine is a global healthcare reality. In countries like Vietnam, dual-paradigm clinical guidelines actively mandate integrated treatments for high-prevalence chronic diseases. However, safe integration at the point of care is severely hindered by data fragmentation, profound epistemological differences, and a critical "shadow pharmacovigilance" crisis regarding underreported herb-drug interactions (HDIs). This paper analyzes the state-of-the-art of Artificial Intelligence (AI) in integrative healthcare and proposes the Integrative Medicine Knowledge Engine (IMKE), a novel architectural blueprint designed to safely bridge Vietnamese traditional medicine (VTM) and Western biomedicine. Shifting from siloed technical models to a clinical-first perspective, the IMKE conceptualizes a three-stage digital health pipeline: (1) advanced medical text mining to digitize unstructured traditional practitioner notes; (2) an Integrative Knowledge Graph (IKG) that maps holistic VTM diagnostic patterns to Western pharmacological databases and ICD-10 standards; and (3) an AI-driven Clinical Decision Support System (CDSS) for proactive HDI safety monitoring. We illustrate this architectural data flow through three clinical scenarios-Essential Hypertension, Type 2 Diabetes, and Rheumatoid Arthritis. These scenarios demonstrate the system's theoretical capacity to retrieve culturally appropriate treatments, identify cross-paradigm therapeutic synergies, and generate explainable, mechanistic safety alerts that augment physician judgment while mitigating clinical alert fatigue. Ultimately, the IMKE framework provides a scalable, culturally inclusive roadmap for digital health. By translating centuries of experiential medical wisdom into an interoperable, computationally safeguarded infrastructure, this blueprint sets the foundation for evidence-based integrative care, future retrospective clinical validation, and enhanced patient safety.

Indexed as

clinical decision support systems (CDSS)digital healthherb-drug interactions (HDIs)integrative medicinemedical informaticspharmacovigilanceVietnamese traditional medicine (VTM)

Identifiers

PMID42889100
PMCPMC13668813

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.